The expressions that can cause biased judgment should be interpreted in context. It means it is vital for the hate speech detection models to have the ability to make judgments based on context, as humans do. Therefore, the model should be explainable to humans so that the rationale behind a result is explained [1]}. Here, the rationale is a piece of a sentence as justification for the model's prediction about the sentence, as defined by related research [2]}, [3]}.
